Does it provide citations for its findings?

The skill follows a mandatory citation requirement, linking all target data and drug precedents to their original sources like UniProt, ChEMBL, or specific literature identifiers.

How does it predict protein structures for novel pathogens?

It utilizes Nvidia NIM microservices to run AlphaFold2 and ESMFold, providing high-accuracy computational modeling of protein targets even when experimental structures are unavailable.

Can this skill help find treatments for new outbreaks?

Yes, it is specifically designed for rapid response by screening existing FDA-approved drugs against pathogen targets using molecular docking to identify repurposing candidates.

What sources does this skill use for pathogen data?

The skill integrates data from authoritative biological databases including NCBI Taxonomy for classification, UniProt for protein data, and ChEMBL for drug interaction records.

Infectious Disease Outbreak Intelligence

Name: Infectious Disease Outbreak Intelligence
Author: mims-harvard

bymims-harvard

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1,038

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Data Science & ML

Provides rapid pathogen characterization and computational drug repurposing analysis for emerging infectious disease outbreaks.

This skill empowers Claude to act as an AI scientist for infectious disease research, facilitating rapid response to novel pathogens. It automates the complex workflow of taxonomic classification, essential protein identification, high-accuracy structure prediction using Nvidia NIM, and virtual screening of FDA-approved drugs for repurposing. By synthesizing data from UniProt, ChEMBL, and preprint servers like BioRxiv, it generates comprehensive intelligence reports and prioritized drug candidate lists to accelerate therapeutic discovery during public health crises.

Key Features

01Computational drug repurposing via molecular docking with Nvidia NIM DiffDock

02High-fidelity protein structure prediction using Nvidia NIM AlphaFold2 and ESMFold

03Automated taxonomic classification and relative pathogen analysis via NCBI

04Identification and prioritization of essential, druggable viral and bacterial protein targets

05Real-time literature synthesis from PubMed, BioRxiv, and MedRxiv for outbreak intelligence

061,038 GitHub stars

Use Cases

01Conducting a rapid drug repurposing screen against a specific bacterial or viral target

02Identifying potential therapeutic options for a newly detected viral strain or emerging variant

03Generating structural models and druggability reports for uncharacterized pathogen proteins

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add mims-harvard/tooluniverse tooluniverse-infectious-disease

For use in Claude.ai and ChatGPT

Download Skill